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Data:
-30.75 -209.8 -210.8 -332.8 -85.75 -206.8 -158.8 -87.75 -138.8 -64.75 434.2 430.2 34.25 47.25 -0.7515 -159.8 -142.8 -197.8 87.25 82.25 1.249 290.2 524.2 760.2 312.2 -62.75 -24.75 -94.75 87.25 28.25 77.25 208.2 -98.75 274.2 515.2 474.2 362.2 50.25 117.2 -148.8 258.2 135.2 247.2 -28.75 60.25 258.2 679.2 936.2 379.2 245.2 -40.75 223.2 285.2 95.25 294.2 194.2 366.2 362.2 400.2 432.2 -109.8 -214.8 -169.8 -335.8 13.25 80.25 61.25 169.2 286.2 359.2 374.2 333.2 -140.8 -361.8 -65.75 -335.8 -198.8 -296.8 -275.8 -174.8 -61.75 -156.8 187.2 481.2 -244.8 -62.75 -310.8 -322.8 -187.8 -408.8 -191.8 -390.8 -90.75 30.25 240.2 556.2 -69.75 -316.8 -306.8 -314.8 -323.8 -197.8 -189.8 -74.75 -202.8 -32.75 282.2 497.2 238.2 -255.8 -154.8 -258.8 -271.8 -95.75 -60.75 -79.75 -74.75 -34.75 332.2 544.2 95.25 -272.8 44.25 -256.8 -161.8 -286.8 -290.8 -163.8 -72.75 -64.75 298.2 489.2 -52.75 -356.8 -211.8 -357.8 -264.8 -195.8 -257.8 -165.8 -169.8 109.2 19.25 223.2 -243.8 -259.8 -175.8 -313.8 -195.8 -332.8 -76.75 -207.8 -36.75 220.2 150.2 8.249 -261.8 -272.8 -261.8 -352.8 -230.8 -159.8 -229.8 -33.75 -123.8 132.2 280.2 361.2 -223.8 -264.7 -103.7 -153.7 -85.7 -245.7 -147.7 -182.7 105.3 165.3 161.3 191.3 35.3 -156.7 -39.7 -211.7 -24.7 -136.7 -99.7 -37.7 122.3 253.3 415.3 441.3
Box-Cox transformation parameter
1
1
-2.0
-1.9
-1.8
-1.7
-1.6
-1.5
-1.4
-1.3
-1.2
-1.1
-1.0
-0.9
-0.8
-0.7
-0.6
-0.5
-0.4
-0.3
-0.2
-0.1
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
1.0
1.1
1.2
1.3
1.4
1.5
1.6
1.7
1.8
1.9
2.0
Degree (d) of non-seasonal differencing
0
0
1
2
Degree (D) of seasonal differencing
0
0
1
2
Seasonal Period
12
1
2
3
4
12
Chart options
R Code
par1 <- as.numeric(par1) par2 <- as.numeric(par2) par3 <- as.numeric(par3) par4 <- as.numeric(par4) if (par1 == 0) { x <- log(x) } else { x <- (x ^ par1 - 1) / par1 } if (par2 > 0) x <- diff(x,lag=1,difference=par2) if (par3 > 0) x <- diff(x,lag=par4,difference=par3) bitmap(file='test1.png') r <- spectrum(x,main='Raw Periodogram') dev.off() bitmap(file='test2.png') cpgram(x,main='Cumulative Periodogram') dev.off() load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Raw Periodogram',2,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Parameter',header=TRUE) a<-table.element(a,'Value',header=TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Box-Cox transformation parameter (lambda)',header=TRUE) a<-table.element(a,par1) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Degree of non-seasonal differencing (d)',header=TRUE) a<-table.element(a,par2) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Degree of seasonal differencing (D)',header=TRUE) a<-table.element(a,par3) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Seasonal Period (s)',header=TRUE) a<-table.element(a,par4) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Frequency (Period)',header=TRUE) a<-table.element(a,'Spectrum',header=TRUE) a<-table.row.end(a) for (i in 1:length(r$freq)) { a<-table.row.start(a) mylab <- round(r$freq[i],4) mylab <- paste(mylab,' (',sep='') mylab <- paste(mylab,round(1/r$freq[i],4),sep='') mylab <- paste(mylab,')',sep='') a<-table.element(a,mylab,header=TRUE) a<-table.element(a,round(r$spec[i],6)) a<-table.row.end(a) } a<-table.end(a) table.save(a,file='mytable.tab')
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Big Analytics Cloud Computing Center
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